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Author |
Marçal Rusiñol; Josep Llados |
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Title |
Word and Symbol Spotting using Spatial Organization of Local Descriptors |
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Conference Article |
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Year |
2008 |
Publication |
Proceedings of the 8th IAPR International Workshop on Document Analysis Systems, |
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489–496 |
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Nara (Japan) |
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DAS |
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DAG |
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DAG @ dag @ RuL2008b |
Serial |
1059 |
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Author |
Mathieu Nicolas Delalandre; Ernest Valveny; Josep Llados |
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Title |
Performance Evaluation of Symbol Recognition and Spotting Systems |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of the 8th International Workshop on Document Analysis Systems, |
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Pages |
497–505 |
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Nara (Japan) |
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DAG |
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DAG @ dag @ DVL2008b |
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1060 |
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Author |
Joan Mas; Jose Antonio Rodriguez; Dimosthenis Karatzas; Gemma Sanchez; Josep Llados |
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Title |
HistoSketch: A Semi-Automatic Annotation Tool for Archival Documents |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of the 8th International Workshop on Document Analysis Systems, |
Abbreviated Journal |
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Pages |
517–524 |
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Nara (Japan) |
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DAS |
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DAG |
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DAG @ dag @ MRK2008a |
Serial |
1061 |
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Author |
Dimosthenis Karatzas |
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Title |
Detecting Gradients in Text Images Using the Hough Transform |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of the 8th International Workshop on Document Analysis Systems, |
Abbreviated Journal |
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Pages |
245–252 |
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Nara (Japan) |
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DAS |
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DAG |
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Call Number |
DAG @ dag @ Kar2008 |
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1062 |
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Author |
Alicia Fornes; Josep Llados; Gemma Sanchez; Horst Bunke |
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Title |
Writer Identification in Old Handwritten Music Scores |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of the 8th International Workshop on Document Analysis Systems, |
Abbreviated Journal |
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Pages |
347–353 |
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Nara (Japan) |
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DAS |
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DAG |
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DAG @ dag @ FLS2008b |
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1078 |
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Author |
Partha Pratim Roy; Umapada Pal; Josep Llados |
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Title |
Multi-oriented English Text Line Extraction using Background and Foreground Information |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of the 8th IAPR International Workshop on Document Analysis Systems, |
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Pages |
315–322 |
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Address |
Nara (Japo) |
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DAS |
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DAG |
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Call Number |
DAG @ dag @ RPL2008b |
Serial |
1047 |
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Author |
T.O. Nguyen; Salvatore Tabbone; Oriol Ramos Terrades |
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Title |
Symbol Descriptor Based on Shape Context and Vector Model of Information Retrieval |
Type |
Conference Article |
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Year |
2008 |
Publication |
Proceedings of the 8th IAPR International Workshop on Document Analysis Systems, |
Abbreviated Journal |
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Volume |
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Pages |
191-197 |
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Address |
Nara, Japan |
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DAS |
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DAG |
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Call Number |
Admin @ si @ NTR2008a |
Serial |
1873 |
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Author |
N. Zakaria; Jean-Marc Ogier; Josep Llados |
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Title |
The Fuzzy-Spatial Descriptor for the Online Graphic Recognition: Overlapping Matrix Algorithm |
Type |
Book Chapter |
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Year |
2006 |
Publication |
7th International Workshop, Document Analysis Systems VII (DAS´06), LNCS 3872: 616–627 |
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Address |
Nelson (New Zealand) |
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DAG |
Approved |
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Call Number |
DAG @ dag @ ZOL2006 |
Serial |
629 |
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Author |
Jialuo Chen; Pau Riba; Alicia Fornes; Juan Mas; Josep Llados; Joana Maria Pujadas-Mora |
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Title |
Word-Hunter: A Gamesourcing Experience to Validate the Transcription of Historical Manuscripts |
Type |
Conference Article |
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Year |
2018 |
Publication |
16th International Conference on Frontiers in Handwriting Recognition |
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Pages |
528-533 |
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Keywords |
Crowdsourcing; Gamification; Handwritten documents; Performance evaluation |
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Abstract |
Nowadays, there are still many handwritten historical documents in archives waiting to be transcribed and indexed. Since manual transcription is tedious and time consuming, the automatic transcription seems the path to follow. However, the performance of current handwriting recognition techniques is not perfect, so a manual validation is mandatory. Crowdsourcing is a good strategy for manual validation, however it is a tedious task. In this paper we analyze experiences based in gamification
in order to propose and design a gamesourcing framework that increases the interest of users. Then, we describe and analyze our experience when validating the automatic transcription using the gamesourcing application. Moreover, thanks to the combination of clustering and handwriting recognition techniques, we can speed up the validation while maintaining the performance. |
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Niagara Falls, USA; August 2018 |
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ICFHR |
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Notes |
DAG; 600.097; 603.057; 600.121 |
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Admin @ si @ CRF2018 |
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3169 |
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Permanent link to this record |
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Author |
Pau Torras; Arnau Baro; Alicia Fornes; Lei Kang |
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Title |
Improving Handwritten Music Recognition through Language Model Integration |
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Conference Article |
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Year |
2022 |
Publication |
4th International Workshop on Reading Music Systems (WoRMS2022) |
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42-46 |
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Keywords |
optical music recognition; historical sources; diversity; music theory; digital humanities |
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Abstract |
Handwritten Music Recognition, especially in the historical domain, is an inherently challenging endeavour; paper degradation artefacts and the ambiguous nature of handwriting make recognising such scores an error-prone process, even for the current state-of-the-art Sequence to Sequence models. In this work we propose a way of reducing the production of statistically implausible output sequences by fusing a Language Model into a recognition Sequence to Sequence model. The idea is leveraging visually-conditioned and context-conditioned output distributions in order to automatically find and correct any mistakes that would otherwise break context significantly. We have found this approach to improve recognition results to 25.15 SER (%) from a previous best of 31.79 SER (%) in the literature. |
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November 18, 2022 |
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WoRMS |
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DAG; 600.121; 600.162; 602.230 |
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Admin @ si @ TBF2022 |
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3735 |
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